Suraj Menon

3.9k total citations
30 papers, 1.5k citations indexed

About

Suraj Menon is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Suraj Menon has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Suraj Menon's work include Genomics and Chromatin Dynamics (5 papers), Prostate Cancer Treatment and Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Suraj Menon is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Prostate Cancer Treatment and Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Suraj Menon collaborates with scholars based in United Kingdom, United States and India. Suraj Menon's co-authors include Jason S. Carroll, Vassiliki Theodorou, Rory Stark, Yoko Itō, Masashi Narita, Kosuke Tomimatsu, Julia Stingl, Nicholas J. Matheson, William Howat and Tae-Won Kang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

Suraj Menon

25 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suraj Menon United Kingdom 15 969 337 302 279 278 30 1.5k
Edison Liu United States 15 730 0.8× 352 1.0× 223 0.7× 155 0.6× 200 0.7× 25 1.2k
Marieke van de Ven Netherlands 20 918 0.9× 625 1.9× 172 0.6× 165 0.6× 223 0.8× 43 1.5k
Yuzuru Shiio United States 21 1.5k 1.5× 364 1.1× 131 0.4× 161 0.6× 292 1.1× 34 1.9k
Yuka Nagata Japan 21 702 0.7× 355 1.1× 194 0.6× 130 0.5× 120 0.4× 48 1.6k
Stefan Kammerer Germany 24 1.5k 1.5× 319 0.9× 166 0.5× 322 1.2× 171 0.6× 38 2.0k
Gretchen Argast United States 17 1.1k 1.1× 357 1.1× 96 0.3× 128 0.5× 223 0.8× 26 1.6k
Mikiko Takahashi Japan 24 1.4k 1.5× 260 0.8× 175 0.6× 202 0.7× 125 0.4× 68 2.2k
Roberto Taramelli Italy 28 1.1k 1.1× 201 0.6× 199 0.7× 252 0.9× 337 1.2× 82 1.9k
Alexei A. Goltsov United States 23 944 1.0× 218 0.6× 115 0.4× 190 0.7× 362 1.3× 44 1.6k
Chengzhen Ren United States 24 1.1k 1.2× 312 0.9× 119 0.4× 189 0.7× 578 2.1× 27 1.9k

Countries citing papers authored by Suraj Menon

Since Specialization
Citations

This map shows the geographic impact of Suraj Menon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suraj Menon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj Menon more than expected).

Fields of papers citing papers by Suraj Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suraj Menon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suraj Menon. The network helps show where Suraj Menon may publish in the future.

Co-authorship network of co-authors of Suraj Menon

This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Menon. A scholar is included among the top collaborators of Suraj Menon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suraj Menon. Suraj Menon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Ulahannan, Susanna V., Jason T. Henry, Kathleen N. Moore, et al.. (2025). Abstract CT267: First results of ART0380 (an ATR kinase inhibitor) with low dose irinotecan in advanced or metastatic solid tumors. Cancer Research. 85(8_Supplement_2). CT267–CT267.
3.
Menon, Suraj, et al.. (2023). LB1786 Transient epigenetic reprogramming by mRNA for skin rejuvenation. Journal of Investigative Dermatology. 143(9). B33–B33.
4.
Giannoudis, Athina, Mohammed Imad Malki, Suraj Menon, et al.. (2020). Activating transcription factor-2 (ATF2) is a key determinant of resistance to endocrine treatment in an in vitro model of breast cancer. Breast Cancer Research. 22(1). 126–126. 14 indexed citations
5.
Uribe‐Lewis, Santiago, Thomas Carroll, Suraj Menon, et al.. (2020). 5-hydroxymethylcytosine and gene activity in mouse intestinal differentiation. Scientific Reports. 10(1). 546–546. 21 indexed citations
6.
Bornschein, Jan, Lorenz Wernisch, Maria Secrier, et al.. (2019). Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction. International Journal of Cancer. 145(12). 3389–3401. 14 indexed citations
7.
Singh, Jyotsna, Sweta Jain, Shaista Parveen, et al.. (2018). A novel mutation in SGSH causing Sanfillipo type 3A Mucopolysaccharidoses in an Indian family. Molecular Genetics and Metabolism Reports. 15. 124–126.
8.
Diedisheim, Marc, Masaya Oshima, Olivier Albagli, et al.. (2018). Modeling human pancreatic beta cell dedifferentiation. Molecular Metabolism. 10. 74–86. 63 indexed citations
9.
Hoare, Matthew, Yoko Itō, Tae-Won Kang, et al.. (2016). NOTCH1 mediates a switch between two distinct secretomes during senescence. Nature Cell Biology. 18(9). 979–992. 366 indexed citations
10.
Stojic, Lovorka, Arturo V. Orjalo, Yoko Itō, et al.. (2016). Transcriptional silencing of long noncoding RNA GNG12-AS1 uncouples its transcriptional and product-related functions. Nature Communications. 7(1). 10406–10406. 66 indexed citations
11.
Madhu, Basetti, Masako Narita, Alexandra Jauhiainen, et al.. (2015). Metabolomic changes during cellular transformation monitored by metabolite–metabolite correlation analysis and correlated with gene expression. Metabolomics. 11(6). 1848–1863. 11 indexed citations
12.
Kirschner, Kristina, Shamith Samarajiwa, Jonathan Cairns, et al.. (2015). Phenotype Specific Analyses Reveal Distinct Regulatory Mechanism for Chronically Activated p53. PLoS Genetics. 11(3). e1005053–e1005053. 45 indexed citations
13.
Prater, Michael, Valérie Petit, I. Alasdair Russell, et al.. (2014). Mammary stem cells have myoepithelial cell properties. Nature Cell Biology. 16(10). 942–950. 172 indexed citations
14.
Jacob, Sheeba, Sumeet U. Nayak, Ram Shankar Barai, et al.. (2014). Androgen receptor as a regulator of ZEB2 expression and its implications in epithelial-to-mesenchymal transition in prostate cancer. Endocrine Related Cancer. 21(3). 473–486. 33 indexed citations
15.
Sharma, Naomi L., Charles Massie, Falk Butter, et al.. (2014). The ETS family member GABPα modulates androgen receptor signalling and mediates an aggressive phenotype in prostate cancer. Nucleic Acids Research. 42(10). 6256–6269. 29 indexed citations
16.
Mohammed, Hisham, Clive S. D’Santos, Aurélien A. Sérandour, et al.. (2013). Endogenous Purification Reveals GREB1 as a Key Estrogen Receptor Regulatory Factor. Cell Reports. 3(2). 342–349. 269 indexed citations
17.
Whitaker, Hayley C., Jasmine Kay, Henrik Grönberg, et al.. (2013). N-acetyl-L-aspartyl-L-glutamate peptidase-like 2 is overexpressed in cancer and promotes a pro-migratory and pro-metastatic phenotype. Oncogene. 33(45). 5274–5287. 30 indexed citations
18.
Theodorou, Vassiliki, Rory Stark, Suraj Menon, & Jason S. Carroll. (2012). GATA3 acts upstream of FOXA1 in mediating ESR1 binding by shaping enhancer accessibility. Genome Research. 23(1). 12–22. 252 indexed citations
19.
Ward, Michelle C., Michael D. Wilson, Nuno L. Barbosa‐Morais, et al.. (2012). Latent Regulatory Potential of Human-Specific Repetitive Elements. Molecular Cell. 49(2). 262–272. 47 indexed citations
20.
Marcello, Lucio, Suraj Menon, Jonathan Wilkes, et al.. (2007). VSGdb: a database for trypanosome variant surface glycoproteins, a large and diverse family of coiled coil proteins. BMC Bioinformatics. 8(1). 143–143. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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